Sentence examples for be more precise compared from inspiring English sources

The ANN model was found to be more precise compared to the other models.

The outcome risk of the new method has been proven to be more precise compared to results from the conventional LOPA approach.

Thus, we hypothesized that when TG levels are added to the SOFA score, 28-day mortality predictions would be more precise compared to using the SOFA score alone.

For example, the predicted conserved sites of the FunFams are found to be enriched in experimentally characterized functional residues and the functional annotations provided by FunFams are found to be more precise compared with those generated by other domain-based resources.

Complementing RECORD trials' data with data from the Advisory Committee Briefing Book for rivaroxaban [ 25], the results of our analysis may be more precise compared with previously published analyses in which the data were based only on the RECORD trials [ 28, 34].

In contrast to previous studies we determined mGFR by bolus intravenous injection of sinistrin, a simpler method without urine collection, which is considered to be more precise compared to the constant infusion standard method in healthy subjects and in patients with ascites.

While both models showed good predictions in this study, the ANN model was more precise compared to the RSM model.

But, the ANN model was more precise compared to the RSM model and it showed that, ANN is to be a powerful tool for modeling and optimizing FAME production.

All models indicated good predictions, however, the ANFIS models were more precise compared to the RSM model, which proves that the ANFIS is a powerful tool for modeling and optimizing FAME production in ultrasound reactor.

Again, these estimates are more precise compared to those from the model without considering censoring, as reflected by smaller standard errors.

As a consequence, participants' representations of this moment are more precise compared to the condition with non-causal continuation in which predictions were not violated and participants did not perceive an event boundary.